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Joint Synoptic and Cloud Variability over the Northeast Atlantic near the Azores

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TLDR
In this article, self-organizing maps (SOMs) are employed to objectively classify the 500-hPa geopotential height patterns for 33 years of reanalysis fields (ERA-Interim) into pretrough, trough, posttrough, ridge, and zonal flow categories.
Abstract
Marine boundary layer clouds are modified by processes at different spatial and temporal scales. To isolate the processes governing aerosol–cloud–precipitation interactions, multiday synoptic variability of the environment must be accounted for. Information on the location of low clouds relative to the ridge–trough pattern gives insight into how cloud properties vary as a function of environmental subsidence and stability. The technique of self-organizing maps (SOMs) is employed to objectively classify the 500-hPa geopotential height patterns for 33 years of reanalysis fields (ERA-Interim) into pretrough, trough, posttrough, ridge, and zonal-flow categories. The SOM technique is applied to a region of prevalent marine low cloudiness over the eastern North Atlantic Ocean that is centered on the Azores island chain, the location of a long-term U.S. Department of Energy observation site. The Azores consistently lie in an area of substantial variability in synoptic configuration, thermodynamic environ...

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Journal ArticleDOI

Midlatitude Oceanic Cloud and Precipitation Properties as Sampled by the ARM Eastern North Atlantic Observatory

TL;DR: In this paper, an edited version of this paper was published by AGU. Copyright 2019 American Geophysical Union (AGU) and the authors have published an extended version of their paper.

Midlatitude Oceanic Cloud Precipitation Properties as Sampled By the ARM Eastern North Atlantic Observatory

TL;DR: In this article, the contribution of low clouds (e.g., cloud top < 4 km) to the overall precipitation over midlatitude oceans is poorly understood, in part because of the lack of coupled, high-quality measurements of precipitation and low cloud properties.
Journal ArticleDOI

Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA)

TL;DR: The Aerosol and Cloud Experiments in Eastern North Atlantic (ACE-ENA) campaign as discussed by the authors was motivated by the need of comprehensive in situ measurements for improving the understanding of marine boundary layer CCN budget, cloud and drizzle microphysics, and the impact of aerosol on marine low cloud and precipitation.
References
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Journal ArticleDOI

Estimating the number of clusters in a data set via the gap statistic

TL;DR: In this paper, the authors proposed a method called the "gap statistic" for estimating the number of clusters (groups) in a set of data, which uses the output of any clustering algorithm (e.g. K-means or hierarchical), comparing the change in within-cluster dispersion with that expected under an appropriate reference null distribution.
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Estimating the number of clusters in a dataset via the gap statistic

TL;DR: The gap statistic is proposed for estimating the number of clusters (groups) in a set of data by comparing the change in within‐cluster dispersion with that expected under an appropriate reference null distribution.
Journal ArticleDOI

Clustering of the self-organizing map

TL;DR: The two-stage procedure--first using SOM to produce the prototypes that are then clustered in the second stage--is found to perform well when compared with direct clustering of the data and to reduce the computation time.
Journal ArticleDOI

The MODIS cloud products: algorithms and examples from Terra

TL;DR: The various algorithms being used for the remote sensing of cloud properties from MODIS data with an emphasis on the pixel-level retrievals (referred to as Level-2 products), with 1-km or 5-km spatial resolution at nadir are described.
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